Zobrazeno 1 - 10
of 4 492
pro vyhledávání: '"A Agapito"'
Autor:
Wang, Hengyi, Agapito, Lourdes
We present Spann3R, a novel approach for dense 3D reconstruction from ordered or unordered image collections. Built on the DUSt3R paradigm, Spann3R uses a transformer-based architecture to directly regress pointmaps from images without any prior know
Externí odkaz:
http://arxiv.org/abs/2408.16061
Autor:
Arcidiacono, Carmelo, Portaluri, Elisa, Gullieuszik, Marco, Cantiello, Michele, Annibali, Francesca, Ciliegi, Paolo, Simioni, Matteo, Fantinel, Daniela, Agapito, Guido, Magrin, Demetrio
We report results from numerical simulations assessing astrometry measurements with the Multiconjugate Adaptive Optics Relay for ELT Observations (MORFEO) instrument on the Extremely Large Telescope (ELT). Using the Advanced Exposure Time Calculator
Externí odkaz:
http://arxiv.org/abs/2407.09135
The calibration of future wide field adaptive optics (WFAO) systems requires knowledge of the geometry of the system, in particular the alignment parameters between the sub-apertures of the wavefront sensors (WFS), pupil and deformable mirror (DM) ac
Externí odkaz:
http://arxiv.org/abs/2406.15336
Human motion generation has paramount importance in computer animation. It is a challenging generative temporal modelling task due to the vast possibilities of human motion, high human sensitivity to motion coherence and the difficulty of accurately
Externí odkaz:
http://arxiv.org/abs/2406.07169
The creation of high-fidelity, digital versions of human heads is an important stepping stone in the process of further integrating virtual components into our everyday lives. Constructing such avatars is a challenging research problem, due to a high
Externí odkaz:
http://arxiv.org/abs/2405.19331
We present HAHA - a novel approach for animatable human avatar generation from monocular input videos. The proposed method relies on learning the trade-off between the use of Gaussian splatting and a textured mesh for efficient and high fidelity rend
Externí odkaz:
http://arxiv.org/abs/2404.01053
Publikováno v:
AO4ELT7 proceedings 2023
The upcoming extremely large telescopes will have to deal with the so-called ''pupil fragmentation'' effect: for what concerns the Extremely Large Telescope (ELT), the presence of thick spider legs supporting the secondary mirror may induce unseen ph
Externí odkaz:
http://arxiv.org/abs/2312.12898
Autor:
Jang, Wonbong, Agapito, Lourdes
We propose NViST, a transformer-based model for efficient and generalizable novel-view synthesis from a single image for real-world scenes. In contrast to many methods that are trained on synthetic data, object-centred scenarios, or in a category-spe
Externí odkaz:
http://arxiv.org/abs/2312.08568
Autor:
Giebenhain, Simon, Kirschstein, Tobias, Georgopoulos, Markos, Rünz, Martin, Agapito, Lourdes, Nießner, Matthias
We present Monocular Neural Parametric Head Models (MonoNPHM) for dynamic 3D head reconstructions from monocular RGB videos. To this end, we propose a latent appearance space that parameterizes a texture field on top of a neural parametric model. We
Externí odkaz:
http://arxiv.org/abs/2312.06740
Neural rendering has demonstrated remarkable success in dynamic scene reconstruction. Thanks to the expressiveness of neural representations, prior works can accurately capture the motion and achieve high-fidelity reconstruction of the target object.
Externí odkaz:
http://arxiv.org/abs/2312.00778